Efficient deep neural networks for classification of COVID-19 based on CT images: Virtualization via software defined radio.

Fouladi, Saman; Ebadi, M J; Safaei, Ali A; Bajuri, Mohd Yazid; Ahmadian, Ali

Fouladi, Saman; Ebadi, M J; Safaei, Ali A; Bajuri, Mohd Yazid; Ahmadian, Ali.

Afiliação

Fouladi S; Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Ebadi MJ; Department of Mathematics, Chabahar Maritime Universitya, Chabahar, Iran.
Safaei AA; Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Bajuri MY; Department of Orthopaedics and Traumatology, Faculty of Medicine, Universiti Kebangsaan Malaysia (UKM), Kuala Lumpur, Malaysia.
Ahmadian A; Institute of IR 4.0, The National University of Malaysia, 43600 Bangi, Malaysia.

Comput Commun ; 176: 234-248, 2021 Aug 01.

Article em En | MEDLINE | ID: mdl-34149118

Palavras-chave

COVID-19; Computed tomography; Convolutional auto-encoder neural network (CAENN); Convolutional neural networks (CNN); ResNet-50; VGG-16

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article